JPMorgan Chase is a leading global financial services firm with assets of over $1.1 trillion and operations in more than 50 countries. The firm is a leader in Investment Banking, Financial Services for consumers and businesses, financial transaction processing, asset and wealth management, and private equity. Under the JPMorgan and Chase brands, the firm serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients. Further information about J.P. Morgan is available at [...]
The role is for a Machine Learning Engineer within the Corporate Machine Learning Engineering and Services function for corporate functions across JPMorgan Chase, including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and all functions within the Corporate Administrative Office(CAO). The ML Engineering and Services team will create services and platforms that will provide re-usable components and an end-to-end development to deployment environment to accelerate time-to-market for data science teams.
The ML Engineer in Bangalore will be part of a globally distributed team, with data science and engineering partners in New York and EMEA. He/she will be part of a team of engineers that productionize robust and scalable ML models, and enable the services to be deployed and integrated into existing business workflow. He/she will also build common ML capabilities used across Corporate based on those models. These capabilities will be delivered in an agile way, on internal open source code base, in a test driven manner. This is an exciting opportunity to work on cutting-edge solutions and have a profound influence on the business processes of a leading global bank.
Qualifications/ Technical skills